From Contract to First Result: An Integration Playbook for Marketplace Authentication

Marketplace operators tend to budget an authentication integration as an engineering task. In practice the code is the smallest part. The integrations that go live cleanly are the ones where the operator decided, before writing anything, which listings get checked, what a result means for the seller, and who handles the cases the model is unsure about.

This is the sequence we run with new partners. It is written for the person who owns the project on the marketplace side, whether that is a product lead, a head of operations, or a CTO.

Step 1: Decide Where Authentication Sits in Your Flow

There are three common placements, and each has different cost and trust implications.

Pre-listing. The seller submits photos, the item is checked, and only verified items go live. Highest buyer trust, highest friction for sellers, and every listing — including ones that never sell — incurs a check.

Pre-shipment. The item is checked after a sale, before the buyer is charged or the item ships. Lower volume, because only sold items are checked, and the result gates a transaction that already exists. This is the most common placement for consignment and escrow models.

Dispute-only. Authentication is triggered only when a buyer raises a claim. Lowest volume and cost, but it is reactive — by the time the check runs, trust has already been damaged.

Most operators start at pre-shipment and add pre-listing for high-value categories once they have a feel for volume and seller behaviour. Pick one to start. Mixed placements can come later.

Step 2: Scope the Catalogue

AI authentication coverage is defined at model level, not brand level. Before integration, map your catalogue against the vendor's coverage list and classify every SKU into one of three buckets:

SneakersLite currently covers Jordan, Nike, Adidas, YEEZY, New Balance, ASICS, and Converse, with Puma, Vans, Saucony, HOKA, and Salomon in development. For most sneaker marketplaces the covered bucket accounts for the majority of transaction value, and that is where the integration should start.

Step 3: Fix the Image Capture Standard

The model only sees what the camera sees, and image quality is the single largest controllable factor in result accuracy. Our pipeline standardises submissions — pose estimation and normalisation bring every image to a consistent angle and scale — but standardisation corrects variance; it cannot recover detail that was never captured.

The capture standard should specify:

Guided in-app capture produces materially cleaner submissions than free upload. If your product roadmap allows it, build the guided flow first. It reduces resubmission requests, which are the most common source of seller complaints in a new authentication programme.

Step 4: Wire the Result Into a Decision

Every result returns a verdict, a confidence score, and a breakdown of which checks contributed. The integration question is what your system does with each outcome.

High-confidence pass. The listing or shipment proceeds. Record the result ID against the transaction for dispute handling later.

High-confidence fail. Define the seller-facing message in advance. Operators who send a bare "failed authentication" generate support tickets; operators who explain the next step — resubmit with clearer images, or contact support — generate fewer.

Below threshold. This is the case most integrations forget to design for. Submissions where the model is not confident enough to decide should route to a human reviewer, and the seller should be told the item is under review rather than left waiting silently. Decide who reviews: your own operations team, the vendor's review path, or a mix.

The confidence threshold is a business setting, not a technical one. A marketplace with a strong buyer guarantee may set it high and accept more human review. A high-volume, lower-value category may set it lower. We expose the threshold so the operator decides.

Step 5: Agree the Commercial Model Before Volume Arrives

Pay-per-result pricing is simple, but the tier you land in depends on monthly volume, and volume depends on the placement decision in Step 1. Our B2B tiers are published:

Against a typical human authentication cost of around USD 4.00 per result, the Pro tier represents an 80 percent saving. The practical point for planning is that a pre-shipment placement on a mid-sized marketplace often lands in Pro within the first quarter, while a dispute-only placement may never leave Standard. Model it before signing.

Step 6: The First Ninety Days

A sensible launch runs in three phases.

Weeks 1 to 2: shadow mode. Run authentication on live transactions without acting on the results. Compare against your existing process. This surfaces catalogue gaps and image capture problems before any seller is affected.

Weeks 3 to 6: gated launch. Enable automated decisions for the covered bucket only, with human review on everything below threshold. Monitor the review rate daily. A rising review rate usually means a capture problem, not a model problem.

Weeks 7 to 12: expand and tune. Bring maturing models into automated decisions as their confidence improves, adjust the threshold with evidence, and begin feeding reviewed cases back into training. The review rate should fall measurably across this period.

The metrics that matter at ninety days are the automated decision rate, the dispute rate on authenticated items, and seller resubmission rate. If all three are moving the right way, the integration is working.

What Partners Tell Us Goes Wrong

Three patterns account for most of the friction we have seen.

First, skipping shadow mode. Operators who launch gated decisions on day one discover their capture standard is inadequate at the same moment their sellers do.

Second, treating below-threshold results as failures. Routing uncertain cases to a fail message produces false rejections, angry sellers, and a reputation for the authentication programme that is hard to repair.

Third, under-communicating with sellers. A short explanation of why authentication exists, what photos are needed, and what happens on each outcome removes most of the support load.

Work With Us

If you are planning an authentication integration and want to walk through placement, catalogue scope, and volume modelling before committing to a vendor, we are happy to do that with you.

Contact our team at sneakerslite.com/contact